THE LATEST SALESFORCE CERTIFICATION SALESFORCE-AI-ASSOCIATE EXAM TRAINING METHODS

The latest Salesforce Certification Salesforce-AI-Associate exam training methods

The latest Salesforce Certification Salesforce-AI-Associate exam training methods

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Tags: Reliable Salesforce-AI-Associate Exam Sample, Valid Salesforce-AI-Associate Exam Guide, Salesforce-AI-Associate Valid Study Materials, New Salesforce-AI-Associate Study Notes, Salesforce-AI-Associate Exam Cram Review

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.
Topic 2
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 3
  • Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.
Topic 4
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

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Real Salesforce Salesforce-AI-Associate Questions - Tips And Tricks To Pass Exam

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Salesforce Certified AI Associate Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company's operations?

  • A. The response time for product recommendations is stalled.
  • B. The accuracy of product recommendations is hindered.
  • C. The diversity of product recommendations Is Improved.

Answer: B

Explanation:
"The incomplete data quality will impact the company's operations by hindering the accuracy of product recommendations. Incomplete data means that the data is missing some values or attributes that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI models, as they may not have enough information to learn from or make accurate predictions. For example, incomplete customer records can affect the quality of product recommendations, as the AI model may not be able to capture the customers' preferences, behavior, or needs."


NEW QUESTION # 50
What is a sensitive variable that car esc to bias?

  • A. Country
  • B. Gender
  • C. Education level

Answer: B

Explanation:
Explanation
"Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems."


NEW QUESTION # 51
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic...

  • A. Cryptographic
  • B. Geographic
  • C. Geographic

Answer: B

Explanation:
Explanation
"Demographic data is the data that Salesforce automatically excludes from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns. Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems. Salesforce excludes demographic data from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns by ensuring that the models are based on behavioral data rather than personal data."


NEW QUESTION # 52
Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.
Which data quality dimension Is essential for this custom application?

  • A. Duplication
  • B. Age
  • C. Consistency

Answer: C

Explanation:
Explanation
"Consistency is the data quality dimension that is essential for creating a custom service analytics application to analyze cases in Salesforce. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Consistent data can ensure that the custom application can accurately and efficiently analyze cases and provide meaningful insights."


NEW QUESTION # 53
What is a sensitive variable that car esc to bias?

  • A. Country
  • B. Gender
  • C. Education level

Answer: B

Explanation:
"Gender is a sensitive variable that can leadto bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated,or represented by AI systems."


NEW QUESTION # 54
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